Anthropic on Monday said it identified "industrial-scale campaigns" mounted by three artificial intelligence (AI) companies, DeepSeek, Moonshot AI, and MiniMax, to illegally extract Claude's capabilities to improve their own models. The distillation attacks generated over 16 million exchanges with its large language model (LLM) through about 24,000 fraudulent accounts in violation of its terms

The Russia-linked state-sponsored threat actor tracked as APT28 has been attributed to a new campaign targeting specific entities in Western and Central Europe. The activity, per S2 Grupo's LAB52 threat intelligence team, was active between September 2025 and January 2026. It has been codenamed Operation MacroMaze. "The campaign relies on basic tooling and the exploitation of legitimate services

Cybersecurity researchers have disclosed details of a new cryptojacking campaign that uses pirated software bundles as lures to deploy a bespoke XMRig miner program on compromised hosts. "Analysis of the recovered dropper, persistence triggers, and mining payload reveals a sophisticated, multi-stage infection prioritizing maximum cryptocurrency mining hashrate, often destabilizing the victim

Security news rarely moves in a straight line. This week, it feels more like a series of sharp turns, some happening quietly in the background, others playing out in public view. The details are different, but the pressure points are familiar. Across devices, cloud services, research labs, and even everyday apps, the line between normal behavior and hidden risk keeps getting thinner. Tools

As more organizations run their own Large Language Models (LLMs), they are also deploying more internal services and Application Programming Interfaces (APIs) to support those models. Modern security risks are being introduced less from the models themselves and more from the infrastructure that serves, connects and automates the model. Each new LLM endpoint expands the attack surface, often in